iPhone 16 Pro Max
Geekbench AI Score
4433
Single Precision Score
7546
Half Precision Score
5995
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 22 2025 04:48 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPhone 16 Pro Max |
| Model ID | iPhone17,2 |
| Motherboard | D94AP |
| CPU Information | |
|---|---|
| Name | Apple A18 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1996
371.2 IPS |
|
|
Image Classification (HP)
|
100% |
3451
641.8 IPS |
|
|
Image Classification (Q)
|
96% |
2325
434.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1749
28.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2771
44.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3195
51.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8597
10.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
16993
19.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
14467
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
2258
179.1 IPS |
|
|
Object Detection (HP)
|
97% |
3657
291.1 IPS |
|
|
Object Detection (Q)
|
94% |
2586
206.1 IPS |
|
|
Face Detection (SP)
|
100% |
3521
41.8 IPS |
|
|
Face Detection (HP)
|
100% |
6743
80.1 IPS |
|
|
Face Detection (Q)
|
100% |
3903
46.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7908
60.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
13486
104.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9414
73.5 IPS |
|
|
Style Transfer (SP)
|
100% |
20524
26.4 IPS |
|
|
Style Transfer (HP)
|
100% |
35397
45.5 IPS |
|
|
Style Transfer (Q)
|
96% |
27978
36.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5128
189.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7211
266.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4935
182.2 IPS |
|
|
Text Classification (SP)
|
100% |
3756
5.01 KIPS |
|
|
Text Classification (HP)
|
99% |
6249
8.34 KIPS |
|
|
Text Classification (Q)
|
93% |
6159
8.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
3930
67.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6947
120.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6915
119.5 IPS |
